1964
DOI: 10.6028/jres.068d.092
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Rayleigh distribution and its generalizations

Abstract: Department of Ele ctric al Enginee ring, University of C olor ado, Boulde r, C olo.(R eceived D eccmber 7, ] 963) Th e Rayleigh d istribu tion is the di stribution of thc sum of a large num be r of coplanar (or t im c) vectors \\'ith r andom. amplitudes alld Ull ifO rlllly distributed phases. As s uch, it is the lim iti ng case of di stributions a~soci at('d II ith 111 0re gl'IlPral v pctor surn s t hat arise i n practical problems. S uch cases arC' til(' folloll' ing: (a) 'I'll(' p hasC' distribu tions of the… Show more

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Cited by 29 publications
(25 citation statements)
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“…Note the logarithmic ordinate scale. Also shown is a thin straight line indicating a Rayleigh distribution of the electric-field envelope, in which ERP/<ERP> would be expected to be an exponential (Beckman, 1964). The Rayleigh distribution would be expected if the signal were caused by random fading due to a summation of numerous uncorrelated inputs.…”
Section: Erp Time-variations Within the Pulse Envelopementioning
confidence: 99%
“…Note the logarithmic ordinate scale. Also shown is a thin straight line indicating a Rayleigh distribution of the electric-field envelope, in which ERP/<ERP> would be expected to be an exponential (Beckman, 1964). The Rayleigh distribution would be expected if the signal were caused by random fading due to a summation of numerous uncorrelated inputs.…”
Section: Erp Time-variations Within the Pulse Envelopementioning
confidence: 99%
“…The Weibull is an extreme value distribution and under the Rayleigh parameterization implies that large values are probable. As the Rayleigh distribution, it is the limiting distribu-tion of the vector sum with "random amplitudes and uniformly distributed phases" [30]. Through the χ distribution it is the distribution of the square root of the sum of squares of independent draws from a normal distribution.…”
Section: The Trigonometric Methodsmentioning
confidence: 99%
“…This assumption is justified since radar returns from a target are composed of numerous and diverse reflecting elements. Then, statistically, the sum of these large number of independent random vectors, each having a uniform phase and a Rayleigh amplitude distribution, is a Rayleigh vector [18]. However, the Rayleigh assumption is generally true for targets having small radar cross section (RCS) because targets with high RCS exhibit a heavier tail than the Rayleigh distribution [19].…”
Section: Radar System and Target Modelmentioning
confidence: 99%
“…Then, the bound on probability of detection P D can be evaluated from equation (18) by using the result of equation (19).…”
Section: Radar System and Target Modelmentioning
confidence: 99%